6 papers · 1 filter
AffectAI-Capture: A Reproducible Multimodal Protocol for Small-Group Meeting Research
Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +6
We present AffectAI-Capture, a protocol for collecting synchronized multimodal data in four-person meeting-like interactions, combining eye tracking, wearable physiology, close-tal…
Modelling the Interplay of Eye-Tracking Temporal Dynamics and Personality for Emotion Detection in Face-to-Face Settings
Meisam J. Seikavandi, Jostein Fimland, Fabricio Batista Narcizo +5
Accurate recognition of human emotions is critical for adaptive human-computer interaction, yet remains challenging in dynamic, conversation-like settings. This work presents a per…
MuMTAffect: A Multimodal Multitask Affective Framework for Personality and Emotion Recognition from Physiological Signals
Meisam Jamshidi Seikavandi, Fabricio Batista Narcizo, Ted Vucurevich +2
We present MuMTAffect, a novel Multimodal Multitask Affective Embedding Network designed for joint emotion classification and personality prediction (re-identification) from short…
Exploring the Temporal Dynamics of Facial Mimicry in Emotion Processing Using Action Units
Meisam Jamshidi Seikavandi, Jostein Fimland, Maria Jung Barrett +1
Facial mimicry - the automatic, unconscious imitation of others' expressions - is vital for emotional understanding. This study investigates how mimicry differs across emotions usi…
Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze Strategies
Meisam J. Seikavandi, Maria J. Barrett, Paolo Burelli
Face Emotion Recognition (FER) is essential for social interactions and understanding others' mental states. Utilizing eye tracking to investigate FER has yielded insights into cog…
Modelling Emotions in Face-to-Face Setting: The Interplay of Eye-Tracking, Personality, and Temporal Dynamics
Meisam Jamshidi Seikavandi, Jostein Fimland, Maria Barrett +1
Accurate emotion recognition is pivotal for nuanced and engaging human-computer interactions, yet remains difficult to achieve, especially in dynamic, conversation-like settings. I…